A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges
S Ji, X Yang, J Luo - ACM Computing Surveys, 2023 - dl.acm.org
Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …
learning techniques. However, the tasks covered by symbolic music generation have not …
A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions
S Ji, J Luo, X Yang - arXiv preprint arXiv:2011.06801, 2020 - arxiv.org
The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
Music composition with deep learning: A review
C Hernandez-Olivan, JR Beltran - Advances in speech and music …, 2022 - Springer
Generating a complex work of art such as a musical composition requires exhibiting a
certain level of creativity. This depends on a variety of factors that are related to the hierarchy …
certain level of creativity. This depends on a variety of factors that are related to the hierarchy …
Usage of deep learning and blockchain in compilation and copyright protection of digital music
Z Cai - Ieee Access, 2020 - ieeexplore.ieee.org
In order to explore the application of deep learning algorithms in arrangement and
composition, and the role of blockchain in the protection of digital music copyright, a …
composition, and the role of blockchain in the protection of digital music copyright, a …
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation
With rapid advances in generative artificial intelligence, the text-to-music synthesis task has
emerged as a promising direction for music generation from scratch. However, finer-grained …
emerged as a promising direction for music generation from scratch. However, finer-grained …
ComMU: Dataset for combinatorial music generation
Commercial adoption of automatic music composition requires the capability of generating
diverse and high-quality music suitable for the desired context (eg, music for romantic …
diverse and high-quality music suitable for the desired context (eg, music for romantic …
BandControlNet: parallel transformers-based steerable popular music generation with fine-grained spatiotemporal features
J Luo, X Yang, D Herremans - arXiv preprint arXiv:2407.10462, 2024 - arxiv.org
Controllable music generation promotes the interaction between humans and composition
systems by projecting the users' intent on their desired music. The challenge of introducing …
systems by projecting the users' intent on their desired music. The challenge of introducing …
A survey on artificial intelligence for music generation: Agents, domains and perspectives
C Hernandez-Olivan, J Hernandez-Olivan… - arXiv preprint arXiv …, 2022 - arxiv.org
Music is one of the Gardner's intelligences in his theory of multiple intelligences. How
humans perceive and understand music is still being studied and is crucial to develop …
humans perceive and understand music is still being studied and is crucial to develop …
An automatic music generation and evaluation method based on transfer learning
Y Guo, Y Liu, T Zhou, L Xu, Q Zhang - Plos one, 2023 - journals.plos.org
In recent years, deep learning has seen remarkable progress in many fields, especially with
many excellent pre-training models emerged in Natural Language Processing (NLP) …
many excellent pre-training models emerged in Natural Language Processing (NLP) …
Recent advances of computational intelligence techniques for composing music
Music exerts a ubiquitous influence on human cultures and daily lives. Composing music is
deemed rather complicated because it involves various factors (eg, instruments, melodies …
deemed rather complicated because it involves various factors (eg, instruments, melodies …